Comparison Between Continuous-Time and Discrete-Time: Event History Analysis with Stata
暫譯: 連續時間與離散時間的比較：使用 Stata 進行事件歷史分析
Blossfeld, Gwendolin J.
商品描述
Comparison Between Continuous-Time and Discrete-Time: Event History Analysis with Stata elucidates the statistical concepts and empirical applications of both continuous-time and discrete-time event history models. Empirical scientists have increasingly collected data on the timing of events, with the understanding that events can occur at any point in time and may be recorded using different observation schemes. However, time-continuous processes are not always observed with fine-grained temporal resolution; in some cases, they are captured with larger observation intervals (monthly, yearly, biennially, and quadrennially).
This book introduces the need for discrete-time event history analysis methods and adeptly discusses the limitations of the discrete-time approach when compared to continuous-time models. It offers an in-depth comparison of both methods and sheds light on how they differ and align. By utilizing the statistical software Stata and using a campus example data set, the book provides practical examples that showcase the implications of larger observation intervals in discrete-time applications.
This book serves as an essential resource for researchers, students, and practitioners seeking to comprehend the nuances of event history analysis in both continuous and discrete-time frameworks. Its comprehensive exploration of statistical techniques and real-world applications will equip readers with a deeper understanding of the strengths and limitations of each method, thus enabling more informed and robust decision-making in empirical research.
商品描述(中文翻譯)
《連續時間與離散時間的比較：使用 Stata 進行事件歷史分析》闡明了連續時間和離散時間事件歷史模型的統計概念和實證應用。實證科學家越來越多地收集事件發生時間的數據，並理解事件可以在任何時間點發生，並且可能使用不同的觀察方案進行記錄。然而，時間連續過程並不總是以細緻的時間解析度觀察到；在某些情況下，它們是以較大的觀察間隔（每月、每年、每兩年和每四年）捕捉的。
本書介紹了離散時間事件歷史分析方法的必要性，並巧妙地討論了與連續時間模型相比，離散時間方法的局限性。它對這兩種方法進行了深入比較，並闡明了它們的異同。通過利用統計軟體 Stata 並使用校園示例數據集，本書提供了實際範例，展示了在離散時間應用中較大觀察間隔的影響。
本書是研究人員、學生和實務工作者理解連續時間和離散時間框架下事件歷史分析細微差別的重要資源。其對統計技術和現實世界應用的全面探索將使讀者更深入地理解每種方法的優勢和局限性，從而在實證研究中做出更明智和穩健的決策。
作者簡介
Gwendolin J. Blossfeld is Postdoc at the Faculty of Social Sciences, Economics and Business Administration at the University of Bamberg, Germany. Her research interests are in the areas of longitudinal analysis methods, life course research, longitudinal data collection, causal analysis, sociology of education, labor market research, social inequality, demography, migration, and gender studies. She has published five books and several peer-reviewed journal articles.
作者簡介(中文翻譯)
Gwendolin J. Blossfeld 是德國班貝格大學社會科學、經濟學與商業管理學院的博士後研究員。她的研究興趣包括縱向分析方法、生命歷程研究、縱向數據收集、因果分析、教育社會學、勞動市場研究、社會不平等、人口統計學、移民以及性別研究。她已出版五本書籍和多篇經過同行評審的期刊文章。
